code: def calculate_prediction_dice(self, label_volume_1, label_volume_2):
      im1 = np.asarray(label_volume_1).astype(np.bool)
      im2 = np.asarray(label_volume_2).astype(np.bool)
  
      if im1.shape != im2.shape:
          raise ValueError(
              "Shape mismatch: im1 and im2 must have the same shape."
          )
  
      im_sum = im1.sum() + im2.sum()
      if im_sum == 0:
          return 0
  
      # Compute Dice coefficient
      intersection = np.logical_and(im1, im2)
  
      return 2.0 * intersection.sum() / im_sum
  
file_path: DeepNeuro/deepneuro/outputs/statistics.py
imports: import os
  import numpy
  import matplotlib.pyplot
  from skimage.morphology import label
  from skimage.measure import regionprops
  from deepneuro.utilities.conversion import convert_input_2_numpy
label_desc: Use image node_id 4 for calling a global function with example usage: calculate_prediction_dice(label_volume_1, label_volume_2) and returns: unknown, int